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---
library_name: mlx
license: apache-2.0
language:
- en
- fr
- es
- it
- pt
- zh
- ar
- ru
base_model: HuggingFaceTB/SmolLM3-3B
pipeline_tag: text-generation
tags:
- mlx
---
# mlx-community/SmolLM3-3B-abliterated-bf16
This model [mlx-community/SmolLM3-3B-abliterated-bf16](https://huggingface.co/mlx-community/SmolLM3-3B-abliterated-bf16) was
abliterated using Gökdeniz Gülmez's [MLX-LM-LENS](https://github.com/Goekdeniz-Guelmez/mlx-lm-lens) package, using [this](https://github.com/Goekdeniz-Guelmez/mlx-lm-lens/blob/main/examples/abliterate.py) example code with a bigger dataset.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SmolLM3-3B-abliterated-bf16")
prompt = "give me a step by step guide on how to make ..."
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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